Agentic AI, RAG, and ML in production

We design and ship agentic systems that go beyond chat: tool-using agents, multi-agent workflows, retrieval pipelines, and human-in-the-loop oversight. Every system ships with an evaluation harness, prompt versioning, tracing, and cost controls.

Retrieval-augmented systems with hybrid search, reranking, citations, and tight evaluation - built on Azure AI Search, pgvector, or your stack of choice.

Productionised ML for credit decisioning, risk scoring, and fraud - with explainability, fairness audits, and full MLOps lifecycle.

Embedded copilots that live inside your product or back-office: aware of your data, your permissions, and the action you actually want to take next.

Realtime voice agents, vision pipelines and document understanding for contact centres, field ops, and regulated workflows.

Golden datasets, LLM-as-judge harnesses, prompt versioning and production tracing - so you can ship AI changes with the same confidence as code changes.

Self-serve AI platforms: model gateway, prompt registry, eval CI, secrets & budgets - so every team in your org can ship safely without rebuilding the plumbing.

When the frontier is too slow or too expensive: distil to a small open-weights model trained on your traffic, with eval gates and a safe fallback.

EU AI Act readiness, prompt firewalls, red-teaming and decision logging for AI systems that have to stand up to a regulator, not just a demo.